Demographics details for Green, OH vs New haven, MO
Population Overview
Compare main population characteristics in Green, OH vs New haven, MO.
| Data | Green | New haven |
|---|---|---|
| Population | 27,269 | 2,409 |
| Median Age | 41.1 years | 31.2 years |
| Median Income | $90,419 | $66,410 |
| Married Families | 45.0% | 60.0% |
| Poverty Level | 4% | 10% |
| Unemployment Rate | 4.7 | 2.5 |
Population Comparison: Green vs New haven
- In Green, the population is higher at 27,269, compared to 2,409 in New haven.
- Residents in Green have a higher median age of 41.1 years compared to 31.2 years in New haven.
- Green has a higher median income of $90,419 compared to $66,410 in New haven.
- In New haven, the percentage of married families is higher at 60.0%, compared to 45.0% in Green.
- The poverty level is higher in New haven at 10%, compared to 4% in Green.
- The unemployment rate in Green is higher at 4.7%, compared to 2.5% in New haven.
Demographics
Demographics Green vs New haven provide insight into the diversity of the communities to compare.
| Demographic | Green | New haven |
|---|---|---|
| Black | 1 | 1 |
| White | 94 | 76 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 12 |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs New haven
- The percentage of Black residents is the same in both Green and New haven at 1%.
- Green has a higher percentage of White residents at 94% compared to 76% in New haven.
- The Asian population is larger in Green at 1% compared to 0% in New haven.
- New haven has a higher percentage of Hispanic residents at 12%, compared to 1% in Green.
- The percentage of residents identifying as two or more races is higher in New haven at 11%, compared to 3% in Green.
- The percentage of American Indian residents is the same in both Green and New haven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | New haven |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.7% |
| Physical Health Not Good | 10.5% | 10.8% |
| Depression | 24.7% | 24.7% |
| Smoking | 17.4% | 18.0% |
| Binge Drinking | 19.1% | 20.0% |
| Obesity | 40.2% | 36.6% |
| Disability Percentage | 9.0% | 24.0% |
Health Statistics Comparison: Green vs New haven
- In New haven, a higher percentage report poor mental health at 16.7% compared to 16.6% in Green.
- Both cities have comparable depression rates at 24.7%.
- New haven has a higher smoking rate at 18.0% compared to 17.4% in Green.
- More residents engage in binge drinking in New haven at 20.0% compared to 19.1% in Green.
- Obesity rates are higher in Green at 40.2% compared to 36.6% in New haven.
- There is a higher percentage of disabled individuals in New haven at 24.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green | New haven |
|---|---|---|
| No Schooling | 0.2% (46) | 0.2% (5) |
| High School Diploma | 16.6% (4,514) | 19.7% (475) |
| Less than High School | 3.0% (828) | 12.2% (293) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 24.8% (598) |
Education Levels Comparison: Green vs New haven
- The percentage of residents with no formal schooling is the same in both Green and New haven at 0.2%.
- In New haven, the rate of residents with high school diplomas is higher at 19.7% compared to 16.6% in Green.
- The percentage of residents with less than a high school education is higher in New haven at 12.2%, compared to 3.0% in Green.
- A higher percentage of residents in Green hold a bachelor's degree or higher at 29.3% compared to 24.8% in New haven.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.